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Diffstat (limited to 'python/pyspark/mllib/tree.py')
| -rw-r--r-- | python/pyspark/mllib/tree.py | 10 |
1 files changed, 8 insertions, 2 deletions
diff --git a/python/pyspark/mllib/tree.py b/python/pyspark/mllib/tree.py index f59a818a6e..afdcdbdf3a 100644 --- a/python/pyspark/mllib/tree.py +++ b/python/pyspark/mllib/tree.py @@ -77,8 +77,13 @@ class DecisionTreeModel(object): return self._java_model.depth() def __repr__(self): + """ Print summary of model. """ return self._java_model.toString() + def toDebugString(self): + """ Print full model. """ + return self._java_model.toDebugString() + class DecisionTree(object): @@ -135,7 +140,6 @@ class DecisionTree(object): >>> from numpy import array >>> from pyspark.mllib.regression import LabeledPoint >>> from pyspark.mllib.tree import DecisionTree - >>> from pyspark.mllib.linalg import SparseVector >>> >>> data = [ ... LabeledPoint(0.0, [0.0]), @@ -145,7 +149,9 @@ class DecisionTree(object): ... ] >>> model = DecisionTree.trainClassifier(sc.parallelize(data), 2, {}) >>> print model, # it already has newline - DecisionTreeModel classifier + DecisionTreeModel classifier of depth 1 with 3 nodes + >>> print model.toDebugString(), # it already has newline + DecisionTreeModel classifier of depth 1 with 3 nodes If (feature 0 <= 0.5) Predict: 0.0 Else (feature 0 > 0.5) |